Characterizing the Outlying Feature Set of Groups
Haiyang Xia, Huy Quen Vu, Jianlong Tan, Li Xiao, Gang Li · Procedia Computer Science · 2019
Outlying feature set of groups is useful in many applicationscenarios.However, most of existing literatures focusedoncharacterizing outlying feature set of individuals rather than group level. A method that can identify outlying feature setof groups effectively from large scale dataset is not yet available. This paper aims to tackle this challenge by proposing a novelgroup outlying feature set identification algorithm, named GOFSI, which can identify the outlying feature set at the group level automatically. The Experiments on both synthetic and real-world data sets confirmed the effectiveness of ourmethod.